Data Science
23
Terminal
Home
1
Introduction
2
Schedule
R Programming
3
Installation
4
Introduction to R
5
Getting Started
6
IDEs
7
R packages
8
Basic operations
9
Data Types & Vectors
10
Data Structures
11
Indexing
12
Factors
13
Base Data I/O
14
Read and Write Excel Data
15
Vectorized Operations
16
Control Flow
17
Summarizing Data
18
Aggregate
19
Writing Functions
20
Function Scoping
21
The Apply Family
22
Base Graphics
Data Science
23
Terminal
24
Version Control with Git and GitHub
25
Demo Dataset
26
Probability
27
Statistics
28
Hypothesis Testing
29
Data Visualization
30
Introduction to Machine Learning
31
Clustering
32
Decomposition and Dimensionality Reduction
33
Supervised Learning
34
AI Assistants for Data Science
35
References
Table of contents
23.1
Learning objectives
23.2
IDE, terminal, and shell
23.3
Working directory and paths
23.4
Core shell commands
23.5
Run an R script with Rscript
23.6
Remote access with SSH
23.7
Hands-on practice
23.8
Checkpoint
23.9
Further study
Data Science
23
Terminal
23
Terminal
23.1
Learning objectives
Move between an IDE, a local terminal, and a remote shell.
Navigate a project and manage its files from the command line.
Run an R script locally and on CoreHPC.
23.2
IDE, terminal, and shell
23.3
Working directory and paths
23.4
Core shell commands
23.5
Run an R script with Rscript
23.6
Remote access with SSH
23.7
Hands-on practice
23.8
Checkpoint
23.9
Further study
22
Base Graphics
24
Version Control with Git and GitHub